Dennis Connolly

9 total papers · 730 total citations
7 papers, 498 citations indexed

About

Dennis Connolly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Dennis Connolly has authored 7 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Dennis Connolly's work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Neural Networks and Applications (2 papers). Dennis Connolly is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Neural Networks and Applications (2 papers). Dennis Connolly collaborates with scholars based in United States. Dennis Connolly's co-authors include John D. Burger, Marc Vilain, John Aberdeen and Lynette Hirschman and has published in prestigious journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Dennis Connolly

7 papers receiving 432 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dennis Connolly 475 68 36 30 30 7 498
Joseph Reisinger 498 1.0× 48 0.7× 23 0.6× 53 1.8× 42 1.4× 14 531
Valentin I. Spitkovsky 538 1.1× 67 1.0× 59 1.6× 67 2.2× 44 1.5× 23 580
Oren Melamud 407 0.9× 26 0.4× 17 0.5× 41 1.4× 44 1.5× 14 454
Silvio Amir 486 1.0× 35 0.5× 18 0.5× 50 1.7× 62 2.1× 17 537
Anastasia Shimorina 394 0.8× 25 0.4× 27 0.8× 49 1.6× 68 2.3× 11 473
Adriana Badulescu 511 1.1× 55 0.8× 13 0.4× 77 2.6× 13 0.4× 10 536
Giannis Bekoulis 437 0.9× 81 1.2× 58 1.6× 78 2.6× 43 1.4× 14 500
Maxime Peyrard 553 1.2× 31 0.5× 18 0.5× 55 1.8× 87 2.9× 27 587
Nathan Gilbert 486 1.0× 65 1.0× 13 0.4× 64 2.1× 27 0.9× 11 566
Luciano Del Corro 427 0.9× 38 0.6× 55 1.5× 87 2.9× 41 1.4× 10 459

Countries citing papers authored by Dennis Connolly

Since Specialization
Citations

This map shows the geographic impact of Dennis Connolly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dennis Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Connolly more than expected).

Fields of papers citing papers by Dennis Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis Connolly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dennis Connolly. The network helps show where Dennis Connolly may publish in the future.

Co-authorship network of co-authors of Dennis Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Connolly. A scholar is included among the top collaborators of Dennis Connolly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dennis Connolly. Dennis Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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